Destination Xl (DXLG) Total Liabilities (2011 - 2026)
Destination Xl (DXLG) recorded Total Liabilities of $251.25 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 6.2% from $267.92 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Destination Xl (DXLG) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Destination Xl reported Total Liabilities of $258.85 million, up 8.0% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $239.73 million in FY2025 (+14.8%), $208.79 million in FY2024 (-2.1%), $213.37 million in FY2023 (-3.8%) and $221.74 million in FY2022 (-28.7%).
- The fiscal Q2 2027 figure is the lowest quarterly Total Liabilities since fiscal Q1 2026.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 8.8%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 18.1% in fiscal Q2 2026, against a decline of 35.6% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $263.55 million (Q1 2027), $258.85 million (Q4 2026) and $264.34 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Destination Xl | 24.40 Mn | -67.74 Mn | 53.41 Mn | 251.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 251.25 Mn |
| May 2, 2026 | 263.55 Mn |
| Jan 31, 2026 | 258.85 Mn |
| Nov 1, 2025 | 264.34 Mn |
| Aug 2, 2025 | 267.92 Mn |
| May 3, 2025 | 239.37 Mn |
| Feb 1, 2025 | 239.73 Mn |
| Nov 2, 2024 | 235.87 Mn |
| Aug 3, 2024 | 226.81 Mn |
| May 4, 2024 | 223.08 Mn |
| Feb 3, 2024 | 208.79 Mn |
| Oct 28, 2023 | 221.89 Mn |
| Jul 29, 2023 | 201.86 Mn |
| Apr 29, 2023 | 202.00 Mn |
| Jan 28, 2023 | 213.37 Mn |
| Oct 29, 2022 | 213.09 Mn |
| Jul 30, 2022 | 215.62 Mn |
| Apr 30, 2022 | 219.33 Mn |
| Jan 29, 2022 | 221.74 Mn |
| Oct 30, 2021 | 216.19 Mn |
API Access
Destination Xl Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=DXLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DXLG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();